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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 88 21 0 21 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 84 8 0 21 Jun 2021
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation Magda Amiridi Nikos Kargas N. Sidiropoulos 113 11 0 20 Jun 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 89 22 0 18 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering Ioannis Gatopoulos M. Stol Vincent Tao Hu SSL 108 11 0 18 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 88 40 0 18 Jun 2021
Causal Bias Quantification for Continuous Treatments Gianluca Detommaso Michael Bruckner Philip Schulz Victor Chernozhukov CML 98 0 0 17 Jun 2021
Optimising simulations for diphoton production at hadron colliders using amplitude neural networks Joseph Aylett-Bullock S. Badger Ryan Moodie 109 24 0 17 Jun 2021
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows Jonathan Dumas Antoine Wehenkel Bertrand Cornélusse Antonio Sutera AI4TS 111 83 0 17 Jun 2021
A Simple Generative Network D. Nissani GAN 38 0 0 17 Jun 2021
Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure Paul Henderson Christoph H. Lampert Bernd Bickel VGen 115 7 0 16 Jun 2021
Invertible Attention Jiajun Zha Yiran Zhong Jing Zhang Leonid Sigal Liang Zheng 82 7 0 16 Jun 2021
Input Invex Neural Network Suman Sapkota Binod Bhattarai 50 4 0 16 Jun 2021
Multi-Resolution Continuous Normalizing Flows Vikram S. Voleti Chris Finlay Adam M. Oberman Christopher Pal 94 4 0 15 Jun 2021
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent P. Jaini Lars Holdijk Max Welling 85 11 0 15 Jun 2021
Improving Bridge estimators via $f$ -GAN Hanwen Xing OT 121 3 0 14 Jun 2021
D2C: Diffusion-Denoising Models for Few-shot Conditional Generation Abhishek Sinha Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 138 121 0 12 Jun 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee Heeseung Kim Chaehun Shin Xu Tan Chang-Shu Liu Qi Meng Tao Qin Wei Chen Sung-Hoon Yoon Tie-Yan Liu DiffM 85 89 0 11 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics Charlotte Bunne Laetitia Meng-Papaxanthos Andreas Krause Marco Cuturi OT 101 93 0 11 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 167 903 0 11 Jun 2021
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties Alex Troy Mallen Henning Lange J. Nathan Kutz AI4TS 63 8 0 10 Jun 2021
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold Kieran A. Murphy Carlos Esteves Varun Jampani Srikumar Ramalingam A. Makadia 85 78 0 10 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 66 38 0 10 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 116 688 0 10 Jun 2021
Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows Iván Vallés-Pérez Julian Roth Grzegorz Beringer Roberto Barra-Chicote J. Droppo 102 8 0 10 Jun 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics Carles Domingo-Enrich Youssef Mroueh 66 1 0 10 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 118 83 0 09 Jun 2021
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows Brendan Leigh Ross Jesse C. Cresswell TPM 85 32 0 09 Jun 2021
Generative Models as a Data Source for Multiview Representation Learning Ali Jahanian Xavier Puig Yonglong Tian Phillip Isola 99 129 0 09 Jun 2021
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 82 18 0 09 Jun 2021
Bayesian Bellman Operators M. Fellows Kristian Hartikainen Shimon Whiteson OffRL 89 17 0 09 Jun 2021
Spot the Difference: Detection of Topological Changes via Geometric Alignment Steffen Czolbe Aasa Feragen Oswin Krause 3DPC 85 3 0 09 Jun 2021
Fully differentiable model discovery G. Both R. Kusters PINN 77 2 0 09 Jun 2021
EMFlow: Data Imputation in Latent Space via EM and Deep Flow Models Qi Ma S. Ghosh 70 5 0 09 Jun 2021
Densely connected normalizing flows Matej Grcić Ivan Grubišić Sinisa Segvic TPM 101 59 0 08 Jun 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 105 338 0 08 Jun 2021
Counterfactual Maximum Likelihood Estimation for Training Deep Networks Xinyi Wang Wenhu Chen Michael Stephen Saxon Wenjie Wang OOD CML BDL 107 8 0 07 Jun 2021
Density estimation on smooth manifolds with normalizing flows Dimitris Kalatzis J. Z. Ye Alison Pouplin Jesper Wohlert Søren Hauberg 86 6 0 07 Jun 2021
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks Thibaut Théate Antoine Wehenkel Adrien Bolland Gilles Louppe D. Ernst 49 7 0 06 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 95 63 0 06 Jun 2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction Janis Postels Mengya Liu Riccardo Spezialetti Luc Van Gool Federico Tombari AI4CE 3DPC 77 22 0 06 Jun 2021
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition C. Bai Hsuan-Tien Lin Colin Raffel Wendy Kan 48 35 0 06 Jun 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian W. Zame L. Fleuren Paul Elbers M. Schaar OOD 76 56 0 05 Jun 2021
Variational Leakage: The Role of Information Complexity in Privacy Leakage A. A. Atashin Behrooz Razeghi Deniz Gunduz Svyatoslav Voloshynovskiy PILM 54 9 0 05 Jun 2021
Hierarchical Video Generation for Complex Data Lluis Castrejon Nicolas Ballas Aaron Courville VGen 69 4 0 04 Jun 2021
CAFLOW: Conditional Autoregressive Flows Georgios Batzolis M. Carioni Christian Etmann S. Afyouni Zoe Kourtzi Carola Bibiane Schönlieb 64 2 0 04 Jun 2021
Probabilistic Discriminative Models Address the Tactile Perceptual Aliasing Problem John Lloyd Yijiong Lin Nathan Lepora 50 3 0 03 Jun 2021
Semi-Empirical Objective Functions for MCMC Proposal Optimization Chris Cannella Vahid Tarokh 80 1 0 03 Jun 2021
MINIMALIST: Mutual INformatIon Maximization for Amortized Likelihood Inference from Sampled Trajectories G. Isacchini Natanael Spisak Armita Nourmohammad T. Mora A. Walczak 86 0 0 03 Jun 2021
Inferring Black Hole Properties from Astronomical Multivariate Time Series with Bayesian Attentive Neural Processes Ji Won Park A. Villar Yin Li Yan-Fei Jiang S. Ho J. Lin P. Marshall A. Roodman BDL 43 5 0 02 Jun 2021